Learn the general principles of AI, its potential implications, and capabilities and how to assess AI products and services from multiple angles.
DurationLearn the general principles of AI, its potential implications, and capabilities and how to assess AI products and services from multiple angles.
What is included?
2 days of training
Course material/Slides
Examination Fees
95.8% Certification Success in First Attempt
Classroom training Or Attend-From-Any-Where
Training delivered by Professionals with enormous industry experience
Total comprehensive exam preparation
What you will Learn?
Ethical and sustainable human and artificial intelligence
Artificial Intelligence and robotics
Applying the benefits of AI – challenges and risks
Starting AI: how to build a Machine Learning toolbox – theory and practice
The management, role and responsibilities of humans and machines
The certified training focuses on cyber security threats, data privacy, cookies, cyber security skills and cyber security certification is a must for the role of a certified information security manager. The training providers also offer distance learning qualifications after the certifications
The AI programme’s goal is to advance world-class research into artificial intelligence, its applications and its implications for society, building on the wealth of expertise and knowledge across our academic network.
This course will teach you what Generative AI is and how can it be used in business, home, and education.
The AWS training course and lab cover some important topics in AI, such as image recognition, natural language processing, and speech recognition, and also provide a high-level understanding of AWS’s AI and machine learning services and platforms.
The advent of new and sophisticated technology has given rise to Artificial Intelligence (AI). Currently, AI is being applied to various industries like healthcare, e-commerce, automotive, etc.
This course covers foundational AI topics and concepts and provides an understanding of essential AI techniques, the basics of neural networks, and fundamental neural network architectural layers.
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